Packages entire repositories into AI-ready XML for LLM analysis
Packages repositories into a single AI-ready text file by wrapping source files in XML tags, adding an ASCII directory tree and token estimates. CodeSlimmer, from akasula09, is a command-line utility for developers and AI researchers who prepare full-project context for large models. It supports local folders and public GitHub URLs, shows human-readable file sizes, and offers clipboard integration so prepared context can be pasted directly into chat interfaces.
What does CodeSlimmer produce and how well does it preserve project structure?
CodeSlimmer outputs a single, structured text file that places each source file inside clear XML tags and prefixes the file with an ASCII directory tree. The tool also includes file paths inside tags, which preserves the project hierarchy for downstream analysis by language models. That XML schema and visible tree make it explicit which snippets belong to each file rather than concatenating files without separators.
How does fetching remote repositories affect a local workflow?
The tool can fetch public GitHub repositories without Git installed, so users do not need to clone projects locally before processing. CodeSlimmer extracts and packages remote repos directly from URLs, which removes the manual clone step and reduces local disk I/O when the goal is only to produce an LLM-friendly bundle rather than modify the repository.
Is the output safe to generate and transfer to models?
Safety measures include overwrite-safety checks and token estimates. The utility inspects signature headers to avoid accidental local file overwrites during packaging. It also estimates token usage at roughly four characters per token and reports model-specific capacity so users can avoid exceeding context windows before sending data to an AI endpoint.
Does operating CodeSlimmer require advanced technical knowledge?
Operation is command-line driven but focused on direct tasks. The interactive CLI accepts either a local directory or a remote GitHub URL, and it exposes explicit options like copying output to the clipboard and displaying human-readable sizes (B, KB, MB, GB). Users familiar with basic terminal commands can run the main workflows without in-depth configuration, while more technical users can integrate the output into scripted pipelines.
Best suited for developers preparing full-repo context for LLMs
CodeSlimmer is a practical, task-focused tool for engineers and researchers who need a single, well-annotated text representation of a codebase before querying an LLM. Use the token-estimation step before copying large projects to a model, and run remote URL mode when you do not want to clone repositories locally. Recommended.
